Multi-Omic Biomarkers for Patient Stratification in Sjogren's Syndrome-A Review of the Literature.

Multi-Omic Biomarkers for Patient Stratification in Sjogren's Syndrome-A Review of the Literature.
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干燥综合征患者分层的多组学生物标志物——文献综述

DOI:
10.3390/biomedicines10081773
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发表时间:
2022-07-22
期刊:
影响因子:
4.7
通讯作者:
--
中科院分区:
工程技术3区
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--
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干燥综合征(SS)是一种异质性自身免疫性风湿性疾病(ARD),其特征是由于外分泌腺的慢性淋巴细胞浸润而导致干燥。患者还可能出现其他腺外表现,如关节炎、贫血、疲劳或各种器官受累。由于其异质性以及缺乏有效的治疗方法,该疾病的诊断和管理具有挑战性。本综述的目的是总结近期的多组学研究成果,这些研究旨在确定干燥综合征患者的泪液、唾液和外周血中的生物标志物,这些生物标志物可能有助于对患者进行更好的分层,从而优化治疗选择,并有望改善治疗效果。我们强调了促炎细胞因子和干扰素(IFN)作为生物标志物的相关性,它们在血清、唾液和泪液中浓度较高。转录组学研究证实了干燥综合征患者体内干扰素和白细胞介素信号通路的上调,而免疫表型研究表明免疫细胞群频率失调,特别是CD4 +和CD8 + T活化细胞,以及它们与临床参数(如疾病活动评分)的相关性。最后,我们讨论了来自不同组学技术的新发现,这些发现可以提供关于干燥综合征发病机制的综合知识,并促进个性化医疗方法的发展,从而在未来为患者带来更好的治疗效果。
Sjögren’s syndrome (SS) is a heterogeneous autoimmune rheumatic disease (ARD) characterised by dryness due to the chronic lymphocytic infiltration of the exocrine glands. Patients can also present other extra glandular manifestations, such as arthritis, anaemia and fatigue or various types of organ involvement. Due to its heterogenicity, along with the lack of effective treatments, the diagnosis and management of this disease is challenging. The objective of this review is to summarize recent multi-omic publications aiming to identify biomarkers in tears, saliva and peripheral blood from SS patients that could be relevant for their better stratification aiming at improved treatment selection and hopefully better outcomes. We highlight the relevance of pro-inflammatory cytokines and interferon (IFN) as biomarkers identified in higher concentrations in serum, saliva and tears. Transcriptomic studies confirmed the upregulation of IFN and interleukin signalling in patients with SS, whereas immunophenotyping studies have shown dysregulation in the immune cell population frequencies, specifically CD4+and C8+T activated cells, and their correlations with clinical parameters, such as disease activity scores. Lastly, we discussed emerging findings derived from different omic technologies which can provide integrated knowledge about SS pathogenesis and facilitate personalised medicine approaches leading to better patient outcomes in the future.
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